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Entry-level fintech data operations role in Pune attracts moderate applicant density from finance and analytics candidates.
Strong alternatives/private funds knowledge needed makes background fit highly industry-specific.
Minimal experience and basic finance/Excel requirements make shortlisting relatively lenient.
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Review and validate complex Private Fund documents (Capital Call Notices, Distribution Notices, Capital Account Statements) to ensure accurate Alternatives data processing.
Identify and correct data extraction errors from machine learning models to maintain high data quality.
Collaborate with Machine Learning Operations team to relabel documents and support model retraining, following strict workflows and client SLAs.
0 to 1 year of work experience; fresh graduates encouraged to apply.
Strong academic background in finance, commerce, or economics with understanding of capital markets.
Proficiency in Microsoft Excel and Google Suite; tech-savvy.
Willingness to work from Pune office 3 days a week and flexible work hours; visa sponsorship not available.
Detail-oriented individual comfortable with technology and data validation processes.
Candidate who can effectively follow detailed operational workflows and SLAs in a fintech environment.
Collaborative with an interest in fintech and financial data operations; capable of partnering with ML teams.